Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/33685

Full metadata record

DC Field	Value	Language
dc.contributor.author	Igual, Laura	en_US
dc.contributor.author	Seguí, Santi	en_US
dc.date.accessioned	2020-08-05T07:12:36Z	-
dc.date.available	2020-08-05T07:12:36Z	-
dc.date.issued	2017	en_US
dc.identifier.isbn	978-3-319-50016-4	en_US
dc.identifier.isbn	978-3-319-50017-1	en_US
dc.identifier.other	HPU2164637	en_US
dc.identifier.uri	https://lib.hpu.edu.vn/handle/123456789/33685	-
dc.description.abstract	This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis.	en_US
dc.format.extent	227p.	en_US
dc.format.mimetype	application/pdf
dc.language.iso	en	en_US
dc.publisher	Springer	en_US
dc.subject	Data science	en_US
dc.subject	Parallel computing	en_US
dc.subject	Python programming	en_US
dc.subject	Statistical inference	en_US
dc.subject	Graph analysis	en_US
dc.title	Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications	en_US
dc.type	Book	en_US
dc.size	4,37 MB	en_US
dc.department	Technology	en_US
Appears in Collections:	Technology

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File	Description	Size	Format
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